Will climate change increase the risk of plant invasions into mountains?

Mountain ecosystems have been less adversely affected by invasions of non-native plants than most other ecosystems, partially because most invasive plants in the lowlands are limited by climate and cannot grow under harsher high-elevation conditions. However, with ongoing climate change, invasive species may rapidly move upwards and threaten mid-, and then high-elevation mountain ecosystems. We evaluated this threat by modeling the current and future habitat suitability for 48 invasive plant species in Switzerland and New South Wales, Australia. Both regions had contrasting climate interactions with elevation, resulting in possible different responses of species distributions to climate change. Using a species distribution modeling approach that combines data from two spatial scales, we built high-resolution species distribution models (≤ 250 m) that account for the global climatic niche of species and also finer variables depicting local climate and disturbances. We found that different environmental drivers limit the elevation range of invasive species in each of the two regions, leading to region-specific species responses to climate change. The optimal suitability for plant invaders is predicted to markedly shift from the lowland to the montane or subalpine zone in Switzerland, whereas the upward shift is far less pronounced in New South Wales where montane and subalpine elevations are already suitable. The results suggest that species most likely to invade high elevations in Switzerland will be cold-tolerant, whereas species with an affinity to moist soils are most likely to invade higher elevations in Australia. Other plant traits were only marginally associated with elevation limits. These results demonstrate that a more systematic consideration of future distributions of invasive species is required in conservation plans of not yet invaded mountainous ecosystems.

[1]  Laura Hoch,et al.  Alpine Plant Life Functional Plant Ecology Of High Mountain Ecosystems , 2016 .

[2]  P. Edwards,et al.  Performance of the herb Verbascum thapsus along environmental gradients in its native and non‐native ranges , 2015 .

[3]  Antoine Guisan,et al.  Unifying niche shift studies: insights from biological invasions. , 2014, Trends in ecology & evolution.

[4]  M. Pascual,et al.  Altitudinal Changes in Malaria Incidence in Highlands of Ethiopia and Colombia , 2014, Science.

[5]  J. Calabrese,et al.  Stacking species distribution models and adjusting bias by linking them to macroecological models , 2014 .

[6]  M. Leishman,et al.  Next-Generation Invaders? Hotspots for Naturalised Sleeper Weeds in Australia under Future Climates , 2013, PloS one.

[7]  Brendan A. Wintle,et al.  Predicting species distributions for conservation decisions , 2013, Ecology letters.

[8]  B. Husband,et al.  ADAPTATION OF DIPLOID AND TETRAPLOID CHAMERION ANGUSTIFOLIUM TO ELEVATION BUT NOT LOCAL ENVIRONMENT , 2013, Evolution; international journal of organic evolution.

[9]  J. Franklin,et al.  Modeling plant species distributions under future climates: how fine scale do climate projections need to be? , 2013, Global change biology.

[10]  B. Petitpierre Using environmental niche modeling to understand biological invasions in a changing world , 2013 .

[11]  C. G. Parks,et al.  Plant invasions into mountain protected areas : assessment, prevention and control at multiple spatial scales , 2013 .

[12]  Antoine Guisan,et al.  The accuracy of plant assemblage prediction from species distribution models varies along environmental gradients , 2013 .

[13]  Wilfried Thuiller,et al.  Invasive species distribution models – how violating the equilibrium assumption can create new insights , 2012 .

[14]  R. Bertrand,et al.  Disregarding the edaphic dimension in species distribution models leads to the omission of crucial spatial information under climate change: the case of Quercus pubescens in France , 2012 .

[15]  Alberto Jiménez-Valverde,et al.  Delimiting the geographical background in species distribution modelling , 2012 .

[16]  C. Plutzar,et al.  Extinction debt of high-mountain plants under twenty-first-century climate change , 2012 .

[17]  F. Jiguet,et al.  Selecting pseudo‐absences for species distribution models: how, where and how many? , 2012 .

[18]  P. Edwards,et al.  Genetically based differentiation in growth of multiple non-native plant species along a steep environmental gradient , 2012, Oecologia.

[19]  C. Siniscalco,et al.  Establishing climatic constraints shaping the distribution of alien plant species along the elevation gradient in the Alps , 2012, Plant Ecology.

[20]  Michelle R. Leishman,et al.  Invasion hotspots for non‐native plants in Australia under current and future climates , 2012 .

[21]  Jeff R. Powell,et al.  Accounting for uncertainty in species delineation during the analysis of environmental DNA sequence data , 2012 .

[22]  Aníbal Pauchard,et al.  Processes at multiple scales affect richness and similarity of non‐native plant species in mountains around the world , 2012 .

[23]  Robert K. Colwell,et al.  Assessing the threat to montane biodiversity from discordant shifts in temperature and precipitation in a changing climate. , 2011, Ecology letters.

[24]  Aníbal Pauchard,et al.  Plant Invasions in Mountains: Global Lessons for Better Management , 2011 .

[25]  A. Guisan,et al.  Predicting spatial patterns of plant species richness: a comparison of direct macroecological and species stacking modelling approaches , 2011 .

[26]  Bruce L. Webber,et al.  Modelling horses for novel climate courses: insights from projecting potential distributions of native and alien Australian acacias with correlative and mechanistic models , 2011 .

[27]  Antoine Guisan,et al.  SESAM – a new framework integrating macroecological and species distribution models for predicting spatio‐temporal patterns of species assemblages , 2011 .

[28]  M. Araújo,et al.  21st century climate change threatens mountain flora unequally across Europe , 2011 .

[29]  A. Peterson,et al.  The crucial role of the accessible area in ecological niche modeling and species distribution modeling , 2011 .

[30]  A. Peterson Ecological niche conservatism: a time‐structured review of evidence , 2011 .

[31]  L. Hughes,et al.  Climate change and Australia: key vulnerable regions , 2011 .

[32]  J. Juvik,et al.  "The upper limits of vegetation on Mauna Loa, Hawaii": a 50th-anniversary reassessment. , 2011, Ecology.

[33]  C. Körner,et al.  Topographically controlled thermal‐habitat differentiation buffers alpine plant diversity against climate warming , 2011 .

[34]  J. Abatzoglou,et al.  Changes in Climatic Water Balance Drive Downhill Shifts in Plant Species’ Optimum Elevations , 2011, Science.

[35]  Aníbal Pauchard,et al.  Alien flora of mountains: global comparisons for the development of local preventive measures against plant invasions , 2011 .

[36]  Tim Seipel Distribution and demographics of non-native plants in mountainous regions , 2011 .

[37]  A. Peterson,et al.  Conclusions about Niche Expansion in Introduced Impatiens walleriana Populations Depend on Method of Analysis , 2010, PloS one.

[38]  Aníbal Pauchard,et al.  Assembly of nonnative floras along elevational gradients explained by directional ecological filtering , 2010, Proceedings of the National Academy of Sciences.

[39]  Steven J. Phillips,et al.  The art of modelling range‐shifting species , 2010 .

[40]  C. Kueffer,et al.  Introduced weed richness across altitudinal gradients in Hawai’i: humps, humans and water-energy dynamics , 2010, Biological Invasions.

[41]  P. Edwards,et al.  The role of bioclimatic origin, residence time and habitat context in shaping non-native plant distributions along an altitudinal gradient , 2010, Biological Invasions.

[42]  P. Edwards,et al.  No adaptation to altitude in the invasive plant Erigeron annuus in the Swiss Alps , 2010 .

[43]  Antoine Guisan,et al.  Going against the flow: potential mechanisms for unexpected downslope range shifts in a warming climate , 2010 .

[44]  Catherine Marina Pickering,et al.  The Australian Alps: opportunities and challenges for geotourism , 2010 .

[45]  Other Europe's ecological backbone: recognising the true value of our mountains , 2010 .

[46]  M. Nobis,et al.  Flora indicativa = Ecological inicator values and biological attributes of the flora of Switzerland and the Alps : ökologische Zeigerwerte und biologische Kennzeichen zur Flora der Schweiz und der Alpen , 2010 .

[47]  R. Meentemeyer,et al.  Invasive species distribution modeling (iSDM): Are absence data and dispersal constraints needed to predict actual distributions? , 2009 .

[48]  P. Vittoz,et al.  Land use improves spatial predictions of mountain plant abundance but not presence-absence , 2009 .

[49]  Wolfgang Nentwig,et al.  Alien species in a warmer world: risks and opportunities. , 2009, Trends in ecology & evolution.

[50]  K. Gaston,et al.  Contrasting response of native and alien plant species richness to environmental energy and human impact along alpine elevation gradients. , 2009 .

[51]  Niklaus E. Zimmermann,et al.  Neophyte species richness at the landscape scale under urban sprawl and climate warming , 2009 .

[52]  Aníbal Pauchard,et al.  Ain't no mountain high enough: plant invasions reaching new elevations , 2009 .

[53]  M. Araújo,et al.  BIOMOD – a platform for ensemble forecasting of species distributions , 2009 .

[54]  M. Zappa,et al.  Climate change and plant distribution: local models predict high‐elevation persistence , 2009 .

[55]  M. Leishman,et al.  Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions , 2009 .

[56]  Antoine Guisan,et al.  Shift in cytotype frequency and niche space in the invasive plant Centaurea maculosa. , 2009, Ecology.

[57]  W. Hargrove,et al.  The projection of species distribution models and the problem of non-analog climate , 2009, Biodiversity and Conservation.

[58]  N. Zimmermann,et al.  Predicting future distributions of mountain plants under climate change: does dispersal capacity matter? , 2009 .

[59]  Mathieu Marmion,et al.  Evaluation of consensus methods in predictive species distribution modelling , 2009 .

[60]  G. Newell,et al.  Assessing the accuracy of species distribution models more thoroughly , 2009 .

[61]  Antoine Guisan,et al.  Predicting current and future biological invasions: both native and invaded ranges matter , 2008, Biology Letters.

[62]  Antonio Trabucco,et al.  Climate change mitigation: a spatial analysis of global land suitability for Clean Development Mechanism afforestation and reforestation , 2008 .

[63]  T. Dawson,et al.  Spatial scale affects bioclimate model projections of climate change impacts on mountain plants , 2008 .

[64]  W. Kurz,et al.  Mountain pine beetle and forest carbon feedback to climate change , 2008, Nature.

[65]  Rosa M. Chefaoui,et al.  Assessing the effects of pseudo-absences on predictive distribution model performance , 2008 .

[66]  Petr Pyšek,et al.  Traits Associated with Invasiveness in Alien Plants: Where Do we Stand? , 2008 .

[67]  M. A N D A,et al.  Spatial scale affects bioclimate model projections of climate change impacts on mountain plants , 2008 .

[68]  Jorge Soberón Grinnellian and Eltonian niches and geographic distributions of species. , 2007, Ecology letters.

[69]  A. Townsend Peterson,et al.  The influence of spatial errors in species occurrence data used in distribution models , 2007 .

[70]  J. Grytnes,et al.  An indirect area effect on elevational species richness patterns , 2007 .

[71]  O. Edenhofer,et al.  Mitigation from a cross-sectoral perspective , 2007 .

[72]  C. McCain Could temperature and water availability drive elevational species richness patterns? A global case study for bats , 2006 .

[73]  Omri Allouche,et al.  Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS) , 2006 .

[74]  A. Hirzel,et al.  Evaluating the ability of habitat suitability models to predict species presences , 2006 .

[75]  P. Edwards,et al.  Recognition that causal processes change during plant invasion helps explain conflicts in evidence. , 2006, Ecology.

[76]  Robert P. Anderson,et al.  Maximum entropy modeling of species geographic distributions , 2006 .

[77]  John W. Morgan,et al.  Plant invasions in treeless vegetation of the Australian Alps. , 2005 .

[78]  R. Billeter,et al.  Altitudinal distribution of alien plant species in the Swiss Alps , 2005 .

[79]  C. G. Parks,et al.  Natural and land-use history of the Northwest mountain ecoregions (USA) in relation to patterns of plant invasions , 2005 .

[80]  J. L. Parra,et al.  Very high resolution interpolated climate surfaces for global land areas , 2005 .

[81]  P. Choler Consistent Shifts in Alpine Plant Traits along a Mesotopographical Gradient , 2005 .

[82]  F. Bello,et al.  Predictive value of plant traits to grazing along a climatic gradient in the Mediterranean , 2005 .

[83]  M. Kearney Hybridization, glaciation and geographical parthenogenesis. , 2005, Trends in ecology & evolution.

[84]  W. Thuiller,et al.  Predicting species distribution: offering more than simple habitat models. , 2005, Ecology letters.

[85]  S. Lavorel,et al.  Niche properties and geographical extent as predictors of species sensitivity to climate change , 2005 .

[86]  BiolFlor — a new plant‐trait database as a tool for plant invasion ecology , 2004 .

[87]  T. Dawson,et al.  Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data , 2004 .

[88]  S. Lavorel,et al.  Effects of restricting environmental range of data to project current and future species distributions , 2004 .

[89]  Aníbal Pauchard,et al.  Influence of Elevation, Land Use, and Landscape Context on Patterns of Alien Plant Invasions along Roadsides in Protected Areas of South‐Central Chile , 2004 .

[90]  D. Lodge,et al.  An ounce of prevention or a pound of cure: bioeconomic risk analysis of invasive species , 2002, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[91]  C. Atkinson,et al.  Interactions of climate change with biological invasions and land use in the Hawaiian Islands: Modeling the fate of endemic birds using a geographic information system , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[92]  Monica F. Myers,et al.  Climate change and the resurgence of malaria in the East African highlands , 2002, Nature.

[93]  G. Powell,et al.  Terrestrial Ecoregions of the World: A New Map of Life on Earth , 2001 .

[94]  J. Friedman Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .

[95]  N. Zimmermann,et al.  Predictive mapping of alpine grasslands in Switzerland: Species versus community approach , 1999 .

[96]  P. Gauthier,et al.  Genetic variation and gene flow in Alpine diploid and tetraploid populations of Lotus (L. alpinus (D.C.) Schleicher/L. corniculatus L.). I. Insights from morphological and allozyme markers , 1998, Heredity.

[97]  R. Tibshirani,et al.  Additive Logistic Regression : a Statistical View ofBoostingJerome , 1998 .

[98]  C. Rahbek The elevational gradient of species richness: a uniform pattern? , 1995 .

[99]  M. Zweig,et al.  Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. , 1993, Clinical chemistry.

[100]  J. P. Grime,et al.  Plant Strategies and Vegetation Processes. , 1980 .

[101]  W. D. Billings ADAPTATIONS AND ORIGINS OF ALPINE PLANTS , 1974 .